CUDA by Example: An Introduction to General-Purpose GPU Programming

Description:

Written by two senior members of the CUDA software platform team, this book shows programmers how to employ each area of CUDA through working examples. After a concise introduction to the CUDA platform and architecture, as well as a quick-start guide to CUDA C, the book details the techniques and trade-offs associated with each key CUDA feature. You will discover when to use each CUDA C extension and how to write CUDA software that delivers truly outstanding performance.

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CUDA by Example: An Introduction to General-Purpose GPU Programming

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CUDA by Example, written by two senior members of the CUDA software platform team, shows programmers how to employ this new technology. The authors introduce each area of CUDA development through working examples. After a concise introduction to the CUDA platform and architecture, as well as a quick-start guide to CUDA C, the book details the techniques and trade-offs associated with each key CUDA feature. You’ll discover when to use each CUDA C extension and how to write CUDA software that delivers truly outstanding performance.

Table of Contents

Why CUDA? Why Now?

Getting Started

Introduction to CUDA C

Parallel Programming in CUDA C

Thread Cooperation

Constant Memory and Events

Texture Memory

Graphics Interoperability

Atomics

Streams

CUDA C on Multiple GPUs

The Final Countdown

All the CUDA software tools you’ll need are freely available for download from NVIDIA.

Authors

Jason Sanders is a senior software engineer in NVIDIA’s CUDA Platform Group, helped develop early releases of CUDA system software and contributed to the OpenCL 1.0 Specification, an industry standard for heterogeneous computing. He has held positions at ATI Technologies, Apple, and Novell.

Edward Kandrot is a senior software engineer on NVIDIA’s CUDA Algorithms team, has more than twenty years of industry experience optimizing code performance for firms including Adobe, Microsoft, Google, and Autodesk.